Information processing device, information processing method, and control program

Abstract

To provide an information processing device, an information-processing method, and a control program capable of accurately specifying a person having hobbies and taste similar to those of a predetermined person.SOLUTION: An information processing device includes: an acquisition unit that acquires information transmitted by a predetermined person and a plurality of investigation target persons other than the predetermined person; an analyzing unit that analyzes characteristics of the information transmitted by the predetermined person and analyzes characteristics of the information transmitted by each of the plurality of investigation target persons; a specifying unit that specifies one or more persons having characteristics of transmitted information similar to that of the predetermined person among the plurality of investigation target persons from results of analyzing; and an output unit that outputs information on the specified one or more persons.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present disclosure relates to an information processing device, an information processing method, and a control program. [Background technology]

[0002] In recent years, there has been progress in the development of devices that can accurately identify, for example, a socially influential person (a predetermined person) and other people who have similar hobbies and preferences. By recommending services or products recommended or purchased by the predetermined person to the person identified by this device, it becomes possible to provide the appropriate service or product to the appropriate person.

[0003] Related technology is also disclosed in Patent Document 1. Patent Document 1 discloses an information processing device that improves the accuracy of narrowing down target users for advertisement delivery in order to achieve effective advertisement delivery. [Prior art documents] [Patent documents]

[0004] [Patent Document 1] Japanese Patent Application Publication No. 2023-44741 Summary of the Invention [Problem to be solved by the invention]

[0005] There is a continuing demand for a method that is not limited to the method disclosed in Patent Document 1, but also for a method that can accurately identify other people who have similar hobbies and tastes to a predetermined person.

[0006] An object of the present disclosure is to provide an information processing device, an information processing method, and a control program that solve the above-mentioned problems. [Means for solving the problem]

[0007] The information processing device according to the present disclosure includes an acquisition unit that acquires information transmitted by a specified person and each of a plurality of survey target persons other than the specified person; an analysis unit that analyzes the characteristics of the information transmitted by the acquired specified person and also analyzes the characteristics of the information transmitted by each of the acquired plurality of survey target persons; an identification unit that identifies, from the results of the analysis, one or more persons among the plurality of survey target persons whose transmitted information has characteristics similar to those of the specified person; and an output unit that outputs information of the identified one or more persons.

[0008] The information processing method disclosed herein involves a computer acquiring information transmitted by a specified person and each of multiple survey subjects other than the specified person, analyzing the characteristics of the information transmitted by the acquired specified person, and analyzing the characteristics of the information transmitted by each of the acquired multiple survey subjects, and, from the results of the analysis, identifying one or more people among the multiple survey subjects whose transmitted information has characteristics similar to those of the specified person, and outputting information about the identified one or more people.

[0009] The control program disclosed herein causes a computer to perform the following processes: acquiring information transmitted by a specified person and each of multiple survey subjects other than the specified person; analyzing the characteristics of the acquired information transmitted by the specified person and analyzing the characteristics of the information transmitted by each of the multiple survey subjects; identifying, from the results of the analysis, one or more people among the multiple survey subjects whose transmitted information has characteristics similar to those of the specified person; and outputting information about the identified one or more people. [Effects of the Invention]

[0010] The present disclosure can provide an information processing device, an information processing method, and a control program that can accurately identify people who have similar hobbies and preferences to a predetermined person. [Brief explanation of the drawings]

[0011] [Figure 1] 1 is a block diagram illustrating a configuration example of an information processing device according to the present disclosure. [Figure 2] FIG. 10 is a schematic diagram for explaining an example of analysis processing of the information processing device according to the present disclosure. [Figure 3] FIG. 10 is a schematic diagram for explaining an example of a specific process of the information processing device according to the present disclosure. [Figure 4] 10 is a flowchart illustrating an operation of an information processing device according to the present disclosure. [Figure 5] FIG. 10 is a schematic diagram for explaining another example of the analysis process of the information processing device according to the present disclosure. [Figure 6] FIG. 10 is a schematic diagram for explaining another example of the analysis process of the information processing device according to the present disclosure. [Figure 7] 1 is a block diagram illustrating a configuration example of an information processing device according to the present disclosure. [Figure 8] 10 is a flowchart illustrating an operation of an information processing device according to the present disclosure. [Figure 9] 1 is a block diagram illustrating a configuration example of an information processing system to which an information processing device according to the present disclosure is applied. [Figure 10] FIG. 1 is a block diagram illustrating an example of a hardware configuration for realizing an information processing function of an information processing device according to the present disclosure. DETAILED DESCRIPTION OF THE INVENTION

[0012] Hereinafter, embodiments will be described with reference to the drawings. Note that the drawings are simplified, and the technical scope of the embodiments should not be narrowly interpreted based on the description in the drawings. Furthermore, identical elements are given the same reference numerals, and duplicate explanations will be omitted.

[0013] In the following embodiments, when necessary for convenience, the description will be divided into multiple sections or embodiments. However, unless otherwise specified, they are not unrelated to each other, and one is a partial or complete modification, application example, detailed explanation, supplementary explanation, etc. of the other. Furthermore, in the following embodiments, when the number of elements (including the number, numerical value, amount, range, etc.) is mentioned, it is not limited to that specific number, and may be more or less than the specific number, unless otherwise specified or when it is clearly limited to a specific number in principle.

[0014] Furthermore, in the following embodiments, the components (including operational steps, etc.) are not necessarily essential unless otherwise specified or considered to be clearly essential in principle. Similarly, in the following embodiments, when referring to the shape, positional relationship, etc. of components, etc., it is intended to include those that are substantially similar or approximate to the shape, etc., unless otherwise specified or considered to be clearly not essential in principle. The same applies to the above numbers, etc. (including numbers, numerical values, amounts, ranges, etc.).

[0015] <First Embodiment> FIG. 1 is a block diagram showing an example configuration of an information processing device according to the present disclosure. The information processing device according to the present disclosure can accurately identify, from among the survey subjects, people who have similar hobbies and interests to the specified person, by analyzing the information transmitted by each of the specified person and the survey subjects, even if information about the specified person or the survey subjects is not obtained in advance. As a result, it becomes possible, for example, to group the specified people (group people who share common hobbies and interests) and to introduce appropriate services or products to the specified people. This will be described in detail below.

[0016] 1, the information processing device 11 includes an acquisition unit 111, an analysis unit 112, an identification unit 113, and an output unit 114. Note that the acquisition unit 111, the analysis unit 112, the identification unit 113, and the output unit 114 are not limited to being implemented in a single device, and may be implemented in different devices.

[0017] The acquisition unit 111 acquires information transmitted by each of the predetermined person X and the survey target persons Y1 to Yn (n is an integer of 2 or more) other than the predetermined person X. For example, the acquisition unit 111 acquires information posted on a social networking service (SNS) by the predetermined person X and information posted on an SNS by each of the survey target persons Y1 to Yn as information transmitted by the predetermined person X or each of the survey target persons Y1 to Y. Note that the acquisition unit 111 may further acquire information (such as age, sex, hobbies, family structure, friendships, etc.) related to the predetermined person X that is registered in advance in a database or the like.

[0018] The predetermined person X is not particularly limited, but may be, for example, a socially influential person such as a celebrity or an athlete. However, the predetermined person X is not limited to the above-mentioned socially influential person, but may be any person identifiable by the user (including a company) of the information processing device 11. A person identifiable by the user of the information processing device 11 may be, for example, a purchaser of a predetermined product whose ID is obtained by the user of the information processing device 11, or a poster of an SNS or blog that is of interest to the user of the information processing device 11. The survey target persons Y1 to Yn are not particularly limited, but may be, for example, a user of an SNS to which the predetermined person X posts (transmits) information, or a follower who follows the posts of the predetermined person X on the SNS.

[0019] The analysis unit 112 analyzes the characteristics of the information transmitted by the predetermined person X acquired by the acquisition unit 111, and also analyzes the characteristics of the information transmitted by each of the survey target persons Y1 to Yn acquired by the acquisition unit 111. Note that, when the acquisition unit 111 acquires information about the predetermined person X that is registered in advance in a database or the like, the analysis unit 112 may also analyze the characteristics of the acquired information about the predetermined person X.

[0020] 2 is a schematic diagram illustrating an example of analysis processing of an information processing device according to the present disclosure. In the example of FIG. 2, a predetermined person X sends multiple messages including messages A, B, and C. For example, the analysis unit 112 analyzes the characteristics of the messages sent by the predetermined person X based on the attributes of keywords included in the multiple messages sent by the predetermined person X and the number of times the keyword attributes are sent. Keyword attributes include items such as politics, sports, travel, music, movies, and work, but more detailed items may also be set.

[0021] 2, the analysis unit 112 extracts, from a plurality of messages sent by a predetermined person X, two politics-related keywords, three sports-related keywords, and four travel-related keywords per day as information (transmission characteristic information) relating to the characteristics of the messages sent by the predetermined person X. Such an analysis by the analysis unit 112 is also performed on the information sent by each of the survey target persons Y1 to Yn.

[0022] From the results of the analysis by the analysis unit 112, the identification unit 113 identifies one or more people who have characteristics of transmitted information similar to that of the predetermined person X from among the survey target people Y1 to Yn.

[0023] Fig. 3 is a schematic diagram for explaining an example of the identification process of the information processing device according to the present disclosure. In the example of Fig. 3, the identification unit 113 compares the transmission characteristic information of the predetermined person X with the transmission characteristic information of each of the survey target persons Y1 to Y3. Specifically, in comparing the transmission characteristic information of the predetermined person X with the transmission characteristic information of each of the survey target persons Y1 to Y3, the identification unit 113 determines whether the attributes of the transmission information included in the transmission characteristic information match (or are similar) and whether the transmission counts of the transmission information included in the common attributes are similar.

[0024] In the example of FIG. 3, the transmission characteristic information of a predetermined person X includes two politics-related keywords, three sports-related keywords, and four travel-related keywords. In contrast, the transmission characteristic information of a survey target person Y1 includes two politics-related keywords, two sports-related keywords, and three travel-related keywords. Furthermore, the transmission characteristic information of a survey target person Y2 includes one politics-related keyword, one sports-related keyword, and one travel-related keyword. Furthermore, the transmission characteristic information of a survey target person Y3 includes two movie-related keywords and three music-related keywords.

[0025] For example, the attributes of the transmitted information (keywords) between the transmission characteristic information of the predetermined person X and the transmission characteristic information of the survey target person Y1 match, and the number of times the transmitted information (keywords) included in the common attributes is also similar. Therefore, the identification unit 113 determines that the survey target person Y1 is a person whose transmitted information characteristics are similar to those of the predetermined person X.

[0026] Furthermore, the attributes of the transmitted information (keywords) match between the transmission characteristic information of the predetermined person X and the transmission characteristic information of the survey target person Y2, but the number of transmissions of the transmitted information (keywords) included in the common attributes is different from that of the survey target person Y1. Therefore, the identification unit 113 determines that the survey target person Y2 is a person whose transmitted information characteristics are not similar to those of the predetermined person X.

[0027] Furthermore, the attributes of the transmitted information (keywords) do not match between the transmission characteristic information of the predetermined person X and the transmission characteristic information of the person Y2 to be investigated. Therefore, the identification unit 113 determines that the person Y3 to be investigated is a person whose characteristics of transmitted information are not similar to those of the predetermined person X.

[0028] That is, in the example of FIG. 3, the identification unit 113 identifies the person under investigation Y1 as one or more persons whose characteristics of transmitted information are similar to those of the predetermined person X, from among the persons under investigation Y1 to Y3.

[0029] In comparing the transmission characteristic information of the predetermined person X with the transmission characteristic information of each of the survey target persons Y1 to Y3, the criteria for determining whether the attributes of the transmission information included in the transmission characteristic information match (or are similar) and whether the transmission counts of the transmission information included in the common attributes are similar can be changed as appropriate. Therefore, for example, the identification unit 113 may be adjusted so as to determine that the transmission counts of the transmission information (keywords) included in the common attributes are similar between the transmission characteristic information of the predetermined person X and the transmission characteristic information of the survey target person Y2. Furthermore, the analysis method by the analysis unit 112 and the characteristic method by the identification unit 113 are not limited to the above-mentioned methods, and other methods may be used within the scope of the spirit of the invention.

[0030] The output unit 114 outputs information on one or more people identified by the identification unit 113. The information output from the output unit 114 (information on one or more people identified by the identification unit 113) is notified to a user or other device using the information processing device 11, for example, as a person whose hobbies and tastes are similar to those of a predetermined person X. As a result, the user or other device using the information processing device 11 can propose grouping of the identified people (grouping of people with common hobbies and tastes) and introduce appropriate services or products to the identified people.

[0031] The output unit 114 may output information about one or more people identified by the identification unit 113 in order of the person with the highest similarity. Alternatively, the output unit 114 may output information about one or more people identified by the identification unit 113 together with the similarity. Furthermore, when the similarity between one or more people identified by the identification unit 113 and the predetermined person X changes due to a change in the hobbies and preferences of the predetermined person X, the output unit 114 may output information about the change, or may re-output information about a person re-identified by the identification unit 113.

[0032] 4 is a flowchart showing the operation of the information processing device according to the present disclosure. As shown in FIG. 4, first, the information processing device 11 acquires information transmitted by each of the predetermined person X and the persons Y1 to Yn to be investigated (step S101).

[0033] Thereafter, the information processing device 11 analyzes the characteristics of the information transmitted by the predetermined person X, and also analyzes the characteristics of the information transmitted by each of the persons Y1 to Yn under investigation (step S102).

[0034] Thereafter, the information processing device 11 identifies, from the analysis results, one or more people among the survey target persons Y1 to Yn who are determined to have characteristics of transmitted information similar to that of the predetermined person X (step S103).

[0035] Thereafter, the information processing device 11 outputs information on the one or more identified persons (step S104). The information output from the information processing device 11 (information on the one or more persons identified in the information processing device 11) is notified to the user who uses the information processing device 11 or to another device as a person whose hobbies and tastes are similar to those of the predetermined person X.

[0036] In this way, by analyzing the transmitted information of each of the predetermined person and the person being surveyed, the information processing device according to the present disclosure can accurately identify, from among the people being surveyed, people who have similar hobbies and preferences to the predetermined person, even if information about the predetermined person or the person being surveyed is not obtained in advance. As a result, a user or other device using the information processing device according to the present disclosure can, for example, propose grouping of the identified people (grouping of people with common hobbies and preferences) or introduce appropriate services or products to the identified people.

[0037] In addition, the acquisition unit 111 may be configured not only to acquire information transmitted by a specified person X and information transmitted by each of the survey target persons Y1 to Yn, but also to further acquire information transmitted by a first related person who has a relationship with the specified person X, and information transmitted by each of multiple second related persons who have a relationship with the survey target persons Y1 to Yn.

[0038] Here, the first related person refers to, for example, the family of the specified person X, the friends of the specified person X, people associated with the specified person X's workplace, people associated with the specified person X's place of residence, or people associated with the specified person X's hobbies and interests. The family of the specified person X includes parents, children, siblings, relatives, etc. People associated with the specified person X's workplace include colleagues at work, superiors, subordinates, business partners, and purchasers of services or products sold by the company where the specified person X works. People associated with the specified person X's place of residence include neighbors and people living within a specified range of the specified person X's place of residence. People associated with the specified person X's hobbies and interests include followers who follow the specified person X's posts on social media, followers who follow the SNS posts of people followed by the specified person X, fans of the same celebrity as the specified person X (for example, members of the same fan club), people who share common hobbies and interests with the specified person X, etc.

[0039] The first related person is identified based on information sent by a predetermined person X or information registered in advance. For example, by utilizing metadata of messages posted on an SNS or blog, it is possible to identify whether or not the person resides near the residence of the predetermined person X. Also, for example, in the case of an SNS operating company, it is possible to identify the first related person using management information from a management server that manages the following status of the SNS. Also, in the case of a product sales company, it is possible to identify the first related person using management information from a management server that manages the product purchase history of each user.

[0040] Furthermore, the second related person may be, for example, a family member of the corresponding surveyed person, a friend of the corresponding surveyed person, a person related to the corresponding surveyed person's workplace, a person related to the corresponding surveyed person's place of residence, or a person related to the corresponding surveyed person's hobbies and preferences. Details of each item are basically the same as those for the first related person, so explanations thereof will be omitted. The second related person is identified based on information transmitted by the corresponding surveyed person, information registered in advance, etc.

[0041] In addition, at this time, the analysis unit 112 may be configured to further analyze the characteristics of the information transmitted by the first related person acquired by the acquisition unit 111, and further analyze the characteristics of the information transmitted by each of the plurality of second related persons acquired by the acquisition unit 111. The method of analyzing the characteristics of the information transmitted by each of the first and second related persons is the same as the method of analyzing the characteristics of the information transmitted by each of the predetermined person X and the survey target persons Y1 to Yn.

[0042] Furthermore, at this time, the identification unit 113 may be configured to identify, from the results of the analysis by the analysis unit 112, one or more of the persons Y1 to Yn under investigation who, in addition to having similar characteristics of transmitted information to the predetermined person X, have a relationship with the second related person similar to the relationship between the predetermined person X and the first related person, and whose characteristics of transmitted information of the second related person are similar to those of the first related person. The method of determining the similarity between the transmission characteristic information of the first related person and the transmission characteristic information of the second related person is the same as the method of determining the similarity between the transmission characteristic information of the predetermined person X and the transmission characteristic information of the persons Y1 to Yn under investigation.

[0043] As a result, the information processing device according to the present disclosure can more accurately identify, from among the survey target persons, persons whose hobbies and tastes are similar to those of the predetermined person.

[0044] 5 is a schematic diagram illustrating another example of the analysis process of the information processing device according to the present disclosure. In the example of Fig. 5, the analysis result of the analysis unit 112 shows not only the transmission characteristic information of the predetermined person X but also the transmission characteristic information of a first related person who has a relationship with the predetermined person X.

[0045] Specifically, from a plurality of messages transmitted by predetermined person X, the analysis unit 112 extracts two politics-related keywords, three sports-related keywords, and four travel-related keywords per day as transmission characteristic information of predetermined person X. Furthermore, from a plurality of messages transmitted by a first related person P who is a friend of predetermined person X, the analysis unit 112 extracts one politics-related keyword, one sports-related keyword, and two travel-related keywords per day as transmission characteristic information of first related person P. Furthermore, from a plurality of messages transmitted by a first related person Q who is a family member (younger sister) of predetermined person X, the analysis unit 112 extracts five music-related keywords, three beauty-related keywords, and two travel-related keywords per day as transmission characteristic information of first related person Q.

[0046] Fig. 6 is a schematic diagram illustrating another example of the identification process of the information processing device according to the present disclosure. In the example of Fig. 6, the identification unit 113 compares the transmission characteristic information of first related persons P and Q who have a relationship with a predetermined person X with the transmission characteristic information of second related persons R1 and S1 who have a relationship with a person Y1 to be investigated, and also compares the transmission characteristic information of the first related persons P and Q who have a relationship with the predetermined person X with the transmission characteristic information of second related persons R2 and S2 who have a relationship with a person Y2 to be investigated. It is assumed that the identification unit 113 has already determined that the transmission characteristic information of the predetermined person X is similar to the transmission characteristic information of each of the people Y1 to Y2 to be investigated.

[0047] Here, the attributes (friends, family) match between the first related persons P and Q who have a relationship with the predetermined person X and the second related persons R1 and S1 who have a relationship with the person being investigated Y1. In addition, the attributes (type of keywords) and the number of transmissions are similar between the transmission characteristic information of the first related person P and the transmission characteristic information of the second related person R1. Furthermore, the attributes (type of keywords) and the number of transmissions are similar between the transmission characteristic information of the first related person Q and the transmission characteristic information of the second related person S1. Therefore, the identification unit 113 determines that the person being investigated Y1 is a person whose transmission information characteristics are similar to those of the predetermined person X.

[0048] Furthermore, the attributes (friends, family) of the first related persons P and Q who are related to the predetermined person X and the second related persons R2 and S2 who are related to the person being investigated Y2 are the same. Furthermore, the attributes (types of keywords) and the number of transmissions are similar between the transmission characteristic information of the first related person P and the transmission characteristic information of the second related person R2. However, the attributes (types of keywords) and the number of transmissions are not similar between the transmission characteristic information of the first related person Q and the transmission characteristic information of the second related person S2. Therefore, the identification unit 113 determines that the person being investigated Y2 is a person whose transmission information characteristics are not similar to those of the predetermined person X.

[0049] That is, in the example of FIG. 6, the identification unit 113 identifies the person under investigation Y1 as one or more persons whose characteristics of transmitted information are similar to those of the predetermined person X, from among the persons under investigation Y1 to Y2.

[0050] In this way, the information processing device according to the present disclosure not only analyzes the information sent by the specified person and the person being investigated, but also analyzes the information sent by the first related person who has a relationship with the specified person, and the second related person who has a relationship with the person being investigated, thereby being able to more accurately identify from among the people being investigated people who have similar hobbies and tastes to the specified person.

[0051] <Embodiment 2> Fig. 7 is a block diagram showing a configuration example of an information processing device according to the present disclosure. As shown in Fig. 7, the information processing device 21 is different from the information processing device 11 in that it includes a presentation unit 214 as the output unit 114. The other configuration of the information processing device 21 is the same as that of the information processing device 11, and therefore description thereof will be omitted.

[0052] The presentation unit 214 presents information about services or products purchased or recommended by the predetermined person X to one or more people identified by the identification unit 113 (people who are determined to have similar hobbies and tastes to the predetermined person X).

[0053] For example, the presentation unit 214 may notify one or more people identified by the identification unit 113 of information about a service or product purchased or recommended by the predetermined person X via email or the like. Alternatively, the presentation unit 214 may display information about a service or product purchased or recommended by the predetermined person X in an advertising space on a website currently used by one or more people identified by the identification unit 113. Alternatively, the presentation unit 214 may post (transmit) information about a service or product purchased or recommended by the predetermined person X on an SNS that is viewed by one or more people identified by the identification unit 113.

[0054] 8 is a flowchart showing the operation of the information processing device according to the present disclosure. As shown in Fig. 8, first, the information processing device 21 acquires information transmitted by each of the predetermined person X and the persons Y1 to Yn to be investigated (step S101).

[0055] Thereafter, the information processing device 21 analyzes the characteristics of the information transmitted by the predetermined person X, and also analyzes the characteristics of the information transmitted by each of the survey target persons Y1 to Yn (step S102).

[0056] Thereafter, the information processing device 21 identifies, from the analysis results, one or more people among the survey target persons Y1 to Yn who are determined to have characteristics of transmitted information similar to that of the predetermined person X (step S103).

[0057] Thereafter, the information processing device 21 presents information about the service or product purchased or recommended by the predetermined person X to the specified one or more people (people who are determined to have similar hobbies and tastes to the predetermined person X) (S204).

[0058] In this way, by analyzing the transmitted information of the predetermined person and the person being investigated, the information processing device according to the present disclosure can accurately identify, from among the people being investigated, people who have similar hobbies and preferences to the predetermined person, even if information about the predetermined person or the person being investigated is not obtained in advance. Furthermore, the information processing device according to the present disclosure can present information about appropriate services or products to the identified people.

[0059] Note that, in the present disclosure, an example has been described in which the presentation unit 214 presents information about a service or product purchased or recommended by a predetermined person X to one or more people identified by the identification unit 113, but the present invention is not limited to this. For example, the presentation unit 214 may suggest grouping of people who share common hobbies and preferences to one or more people identified by the identification unit 113. Grouping includes belonging to a common circle or organization, belonging to a common group where messages are exchanged, etc.

[0060] Furthermore, the presentation unit 214 may preferentially present information about services or products purchased or recommended by the predetermined person X to a person with a high degree of similarity. Alternatively, the presentation unit 214 may present information about services or products with different hobbies and preferences from the services or products purchased or recommended by the predetermined person X to a person with a low degree of similarity.

[0061] The presenting unit 214 may be configured to present to the predetermined person X information about one or more people identified by the identifying unit 113.

[0062] <Application Examples> FIG. 9 is a block diagram showing an example configuration of an information processing system to which an information processing device according to the present disclosure is applied.

[0063] As shown in Fig. 9, the information processing system 1 includes an information processing device 21, an operation terminal 12, operation terminals 13_1 to 13_n, and a network 14. Note that Fig. 9 also shows a management server 50 of a service provider that operates an SNS. The information processing device 21, the operation terminal 12, the operation terminals 13_1 to 13_n, and the external management server 50 are configured to be able to communicate with each other via the wired or wireless network 14.

[0064] The operation terminal 12 is a communication-enabled terminal that is owned by a predetermined person X or temporarily assigned to the predetermined person X, and is, for example, a PC (Personal Computer) terminal, a mobile terminal such as a smartphone or a tablet terminal, or the like.

[0065] For example, a specific person X posts a message to an SNS managed by the management server 50 by operating the monitor of the operation terminal 12 by touching it with a touch pen or a finger, or by operating the mouse, keyboard, etc. of the operation terminal 12.

[0066] The operation terminals 13_1 to 13_n are communication-enabled terminals that are owned by the survey subjects Y1 to Yn or temporarily assigned to the survey subjects Y1 to Yn, respectively, and are, for example, PC terminals, mobile terminals such as smartphones and tablet terminals, etc.

[0067] For example, the survey target persons Y1 to Yn post messages to the SNS managed by the management server 50 by operating the monitor of the operation terminal 13_1 to 13_n by touching it with a stylus or a finger, or by operating the mouse, keyboard, etc. of the operation terminal 13_1 to 13_n. Also, the survey target persons Y1 to Yn access the SNS using the operation terminal 13_1 to 13_n, respectively, to view posts (transmitted information) to the SNS displayed on the monitor of the operation terminal 13_1 to 13_n.

[0068] The configuration and operation of the information processing device 21 have been described above. Here, the information processing device 21 presents information about services or products purchased or recommended by the predetermined person X to one or more people identified as having similar hobbies and tastes to the predetermined person X among the survey target persons Y1 to Yn.

[0069] In this way, the information processing system according to the present disclosure can accurately identify people from among the survey subjects who have similar hobbies and preferences to the specified person by analyzing the information sent by each of the specified person and the survey subject, even if information about the specified person or the survey subject is not obtained in advance. Furthermore, the information processing system according to the present disclosure can present information about appropriate services or products to the identified people.

[0070] In the present disclosure, the information processing system 1 has been described as including the information processing device 21 as an example, but is not limited thereto, and the information processing system 1 may include the information processing device 11 instead of the information processing device 21.

[0071] (Hardware configuration for realizing the information processing functions of the information processing devices 11 and 21) The information processing performed by the information processing device 11 and the information processing device 21 can be realized by a general-purpose computer system. A brief explanation will be given below with reference to Fig. 10. Although the information processing device 11 will be described below, the same can be said for the information processing device 21.

[0072] 10 is a block diagram showing an example of a hardware configuration that realizes the information processing function of the information processing device 11. The computer 300 includes, for example, a central processing unit (CPU) 301, which is a control device, a random access memory (RAM) 302, and a read only memory (ROM) 303. The computer 300 further includes an interface (IF) 304, which is an interface with the outside, and a hard disk drive (HDD) 305, which is an example of a non-volatile storage device. The computer 300 may also include input devices such as a keyboard and a mouse, and a display device such as a display, as other components not shown.

[0073] The HDD 305 stores an OS (Operating System) (not shown) and a control program 306. The control program 306 is a computer program in which the information processing of the information processing device 11 is implemented.

[0074] The CPU 301 controls various processes in the computer 300, access to the RAM 302, the ROM 303, the IF 304, and the HDD 305, etc. In the computer 300, the CPU 301 reads and executes the OS and the control program 306 stored in the HDD 305. In this way, the computer 300 realizes the information processing function of the information processing device 11.

[0075] The above-mentioned program includes instructions (or software code) that, when loaded into a computer, cause the computer to perform one or more functions described in this disclosure. The program may be stored on a non-transitory computer-readable medium or a tangible storage medium. By way of example and not limitation, computer-readable medium or tangible storage medium includes RAM, ROM, flash memory, solid-state drive (SSD) or other memory technology, CD-ROM, digital versatile disc (DVD), Blu-ray disc or other optical disk storage, magnetic cassette, magnetic tape, magnetic disk storage or other magnetic storage device. The program may also be transmitted on a transitory computer-readable medium or communication medium. By way of example and not limitation, transitory computer-readable medium or communication medium includes electrical, optical, acoustic, or other forms of propagated signals.

[0076] Although the present disclosure has been described above with reference to the embodiments, the present disclosure is not limited to the above-described embodiments. Various modifications that can be understood by those skilled in the art can be made to the configuration and details of the present disclosure within the scope of the present disclosure. Furthermore, each embodiment can be combined with other embodiments as appropriate.

[0077] Each drawing is merely an example for describing one or more embodiments. Each drawing may relate not only to one particular embodiment, but also to one or more other embodiments. As will be understood by those skilled in the art, various features or steps described with reference to any one drawing can be combined with features or steps shown in one or more other drawings to create, for example, an embodiment not explicitly shown or described. Not all features or steps shown in any one drawing are necessary to describe an exemplary embodiment, and some features or steps may be omitted. The order of steps described in any drawing may be changed as appropriate.

[0078] Furthermore, some or all of the above-described embodiments can be described as, but are not limited to, the following supplementary notes.

[0079] (Appendix 1) an acquisition unit that acquires information transmitted by a predetermined person and a plurality of survey target persons other than the predetermined person; an analysis unit that analyzes the characteristics of the acquired information transmitted by the predetermined person and analyzes the characteristics of the acquired information transmitted by each of the plurality of survey target persons; an identification unit that identifies, from the results of the analysis, one or more people among the plurality of survey target people whose characteristics of transmitted information are similar to those of the predetermined person; an output unit that outputs information about the one or more identified persons; An information processing device comprising:

[0080] (Appendix 2) the output unit is a presentation unit that presents, to the one or more identified persons, information about a service or product purchased or recommended by the specified person; 10. The information processing device according to claim 1.

[0081] (Appendix 3) the output unit is a presentation unit that presents information on the one or more identified persons to the predetermined person; 10. The information processing device according to claim 1.

[0082] (Appendix 4) The presentation unit posts information about the service or product purchased or recommended by the specified person to at least one of an SNS (Social Network Service) and a website that the specified one or more people are browsing. 3. The information processing device according to claim 2.

[0083] (Appendix 5) the presentation unit notifies the identified one or more persons via email of information about the service or product purchased or recommended by the specified person; 3. The information processing device according to claim 2.

[0084] (Appendix 6) the analysis unit analyzes the characteristics of the information transmitted by the predetermined person from at least the attributes of keywords included in the information transmitted by the predetermined person and the number of times the attributes of the keywords are transmitted, and analyzes the characteristics of the information transmitted by each of the survey target persons from at least the attributes of keywords included in the information transmitted by each of the survey target persons and the number of times the attributes of the keywords are transmitted; 2. The information processing device according to claim 1.

[0085] (Appendix 7) The acquisition unit further acquires information transmitted by a first related person who is a related person having a relationship with the predetermined person, and information transmitted by each of a plurality of second related persons who are related persons having a relationship with the plurality of survey target persons, The analysis unit further analyzes characteristics of the information transmitted by the acquired first related person, and further analyzes characteristics of information transmitted by each of the acquired second related persons; the identification unit identifies, from the results of the analysis, one or more of the plurality of survey target persons who have characteristics of transmitted information similar to that of the predetermined person, and whose relationship with the second related person is similar to the relationship between the predetermined person and the first related person, and whose characteristics of transmitted information of the second related person are similar to those of the first related person; 2. The information processing device according to claim 1.

[0086] (Appendix 8) the output unit is a presentation unit that presents, to the one or more identified persons, information about a service or product purchased or recommended by the specified person; 8. The information processing device according to claim 7.

[0087] (Appendix 9) The first related person is any one of a family member of the specified person, a friend of the specified person, a person related to the specified person's workplace, a person related to the specified person's place of residence, and a person related to the specified person's hobbies and preferences. 8. The information processing device according to claim 7.

[0088] (Appendix 10) the analysis unit analyzes the characteristics of the information transmitted by the predetermined person from at least the attributes of keywords included in the information transmitted by the predetermined person and the number of times the attributes of the keywords are transmitted, and analyzes the characteristics of the information transmitted by each of the survey target persons from at least the attributes of keywords included in the information transmitted by each of the survey target persons and the number of times the attributes of the keywords are transmitted; 8. The information processing device according to claim 7.

[0089] (Appendix 11) The computer Acquire information transmitted by a predetermined person and a plurality of survey subjects other than the predetermined person; analyzing the characteristics of the information transmitted by the acquired predetermined person, and analyzing the characteristics of the information transmitted by each of the acquired plurality of survey target persons; From the results of the analysis, one or more people are identified from among the plurality of surveyed people whose characteristics of transmitted information are similar to those of the predetermined person; outputting information about the one or more identified persons; Information processing methods.

[0090] (Appendix 12) A process of acquiring information transmitted by a predetermined person and a plurality of survey target persons other than the predetermined person; a process of analyzing the characteristics of the information transmitted by the predetermined person and analyzing the characteristics of the information transmitted by each of the plurality of survey target persons; a process of identifying one or more people from among the plurality of surveyed individuals who have characteristics of transmitted information similar to those of the predetermined individual based on the results of the analysis; outputting information about the one or more identified persons; A control program that causes a computer to execute the above.

[0091] Some or all of the elements (e.g., configurations and functions) described in Supplementary Notes 2 to 10 that are dependent on Supplementary Notes 1 may also be dependent on Supplementary Notes 11 and 12 in the same dependency relationship as Supplementary Notes 2 to 10. Some or all of the elements described in any Supplementary Note may be applied to various hardware, software, recording means for recording software, systems, and methods. [Explanation of symbols]

[0092] 1. Information Processing Systems 11 Information processing equipment 12 Operation terminal 13_1~13_n Operation terminal 14 Network 21 Information processing equipment 50 External Management Server 111 Acquisition Department 112 Analysis Department 113 Specific section 114 Output section 214 Presentation section 300 Computers 301 CPU 302 RAM 303 ROM 304 IF 305 HDD 306 Control Program

Claims

1. an acquisition unit that acquires information transmitted by a predetermined person and a plurality of survey target persons other than the predetermined person; an analysis unit that analyzes the characteristics of the acquired information transmitted by the predetermined person and analyzes the characteristics of the acquired information transmitted by each of the plurality of survey target persons; an identification unit that identifies, from the results of the analysis, one or more people among the plurality of survey target people whose characteristics of transmitted information are similar to those of the predetermined person; an output unit that outputs information about the one or more identified persons; An information processing device comprising:

2. the output unit is a presentation unit that presents, to the one or more identified persons, information about a service or product purchased or recommended by the specified person; The information processing device according to claim 1 .

3. The presentation unit posts information about the service or product purchased or recommended by the specified person on at least one of a social networking service (SNS) and a website that the specified one or more people are browsing. The information processing device according to claim 2 .

4. the analysis unit analyzes the characteristics of the information transmitted by the predetermined person from at least the attributes of keywords included in the information transmitted by the predetermined person and the number of times the attributes of the keywords are transmitted, and analyzes the characteristics of the information transmitted by each of the survey target persons from at least the attributes of keywords included in the information transmitted by each of the survey target persons and the number of times the attributes of the keywords are transmitted; The information processing device according to claim 1 .

5. The acquisition unit further acquires information transmitted by a first related person who is a related person having a relationship with the specified person, and information transmitted by each of a plurality of second related persons who are related people having a relationship with the plurality of survey target persons, The analysis unit further analyzes characteristics of the information transmitted by the acquired first related person, and further analyzes characteristics of information transmitted by each of the acquired second related persons; the identification unit identifies, from the results of the analysis, one or more of the plurality of survey target persons who have characteristics of transmitted information similar to that of the predetermined person, and whose relationship with the second related person is similar to the relationship between the predetermined person and the first related person, and whose characteristics of transmitted information of the second related person are similar to those of the first related person; The information processing device according to claim 1 .

6. the output unit is a presentation unit that presents, to the one or more identified persons, information about a service or product purchased or recommended by the specified person; The information processing device according to claim 5 .

7. The first related person is any one of a family member of the specified person, a friend of the specified person, a person related to the specified person's workplace, a person related to the specified person's place of residence, and a person related to the specified person's hobbies and preferences. The information processing device according to claim 5 .

8. the analysis unit analyzes the characteristics of the information transmitted by the predetermined person from at least the attributes of keywords included in the information transmitted by the predetermined person and the number of times the attributes of the keywords are transmitted, and analyzes the characteristics of the information transmitted by each of the survey target persons from at least the attributes of keywords included in the information transmitted by each of the survey target persons and the number of times the attributes of the keywords are transmitted; The information processing device according to claim 5 .

9. The computer Acquire information transmitted by a predetermined person and a plurality of survey subjects other than the predetermined person; analyzing the characteristics of the information transmitted by the acquired predetermined person, and analyzing the characteristics of the information transmitted by each of the acquired plurality of survey target persons; From the results of the analysis, one or more people are identified from among the plurality of surveyed people whose characteristics of transmitted information are similar to those of the predetermined person; outputting information about the one or more identified persons; Information processing methods.

10. A process of acquiring information transmitted by a predetermined person and a plurality of survey target persons other than the predetermined person; a process of analyzing the characteristics of the information transmitted by the predetermined person and analyzing the characteristics of the information transmitted by each of the plurality of survey target persons; a process of identifying one or more people from among the plurality of surveyed individuals who have characteristics of transmitted information similar to those of the predetermined individual based on the results of the analysis; outputting information about the one or more identified persons; A control program that causes a computer to execute the above.

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